chore(app): use active docker image repository

.dockerignore

@@ -1 +1,2 @@
 app/resources.db
+.env

.gitea/workflows/ci.yaml

@@ -0,0 +1,50 @@
+name: CI Pipeline
+
+on:
+  push:
+    branches:
+      - main
+    tags:
+      - 'v*'
+  pull_request:
+    branches:
+      - main
+
+env:
+  IMAGE_NAME: terghalin/metalcheck
+
+jobs:
+  build-and-push:
+    name: Build and Push Docker Image
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout Code
+        uses: actions/checkout@v3
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+
+      - name: Log in to the Container registry
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ vars.IMAGE_REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.CI_TOKEN }}
+
+      - name: Cache Python dependencies
+        uses: actions/cache@v3
+        with:
+          path: ~/.cache/pip
+          key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
+          restore-keys: |
+            ${{ runner.os }}-pip-
+
+      - name: Build and Push Docker Image
+        uses: docker/build-push-action@v6
+        with:
+          push: true
+          tags: |
+            ${{ vars.IMAGE_REGISTRY }}/${{ env.IMAGE_NAME }}:latest
+            ${{ vars.IMAGE_REGISTRY }}/${{ env.IMAGE_NAME }}:${{ github.sha }}
+            ${{ vars.IMAGE_REGISTRY }}/${{ env.IMAGE_NAME }}:${{ github.ref_name }}

README.md

@@ -1,3 +1,149 @@
-# Metal Check
+# MetalCheck Backend
 
-Metal Check - Get tips and information about your Kubernetes and on-premise servers.
+MetalCheck is a backend service that provides insights into virtual machines, physical nodes, and Kubernetes clusters.
+It supports deployment in an EKS environment and offers features like data aggregation, import from APIs, and data export.
+
+---
+
+## Features
+
+- **Metal Nodes**: Track hardware details like CPU, memory, and storage for physical nodes. Import node data from JSON files.
+- **Virtual Machines**: Track virtual machine details like CPU, memory, and storage. Import VM data from Hetzner Cloud API or JSON files.
+- **Kubernetes Clusters**: Query Kubernetes clusters to gather node and namespace data.
+- **Data Export**: Export collected data in JSON or YAML format for further processing or visualization.
+
+---
+
+## Project Structure
+
+```plaintext
+metalcheck-backend/
+├── app/
+│   ├── __init__.py         # Initialization
+│   ├── main.py             # FastAPI entry point
+│   ├── database.py         # SQLite DB setup and operations
+│   ├── routes/
+│   │   ├── __init__.py     # Initialization for routes
+│   │   ├── metal.py        # Routes for metal nodes
+│   │   ├── vm.py           # Routes for virtual machines
+│   │   ├── k8s.py          # Routes for Kubernetes clusters
+│   │   ├── think.py        # Routes for AI summary
+│   │   ├── export.py       # Data export routes
+│   ├── examples/k8s/
+│   │   ├── rbac.yaml       # RBAC configuration for Kubernetes
+│   │   ├── deployment.yaml # Deployment configuration for EKS
+│   │   ├── configmap.yaml  # ConfigMap for EKS
+├── Dockerfile              # Docker container configuration
+├── requirements.txt        # Python dependencies
+├── .dockerignore           # Files to ignore during image build
+└── README.md               # Project documentation
+```
+
+# Setup and Deployment
+## Prerequisites
+- Python 3.10+
+- Docker and kubectl installed
+- Access to an EKS cluster
+- AWS CLI configured with appropriate permissions
+
+## Build and Deploy
+### Build and Push Docker Image
+
+```bash
+docker build -t metalcheck-backend .
+docker tag metalcheck-backend:latest <your-ecr-repo>:latest
+docker push <your-ecr-repo>:latest
+```
+
+### Deploy to EKS
+
+Modify and apply RBAC and deployment configurations:
+
+```bash
+kubectl apply -f examples/k8s/rbac.yaml
+kubectl apply -f examples/k8s/configmap.yaml
+kubectl apply -f examples/k8s/deployment.yaml
+```
+
+### Access the Service
+
+Retrieve the LoadBalancer IP:
+
+```bash
+kubectl get svc -n metalcheck
+```
+
+Test the API:
+
+```bash
+curl http://<EXTERNAL-IP>/k8s/data
+```
+
+## Kubernetes Integration
+
+The `/k8s/data` endpoint retrieves information about:
+
+- Nodes: CPU, memory, and allocatable pods.
+- Namespaces: List of all namespaces in the cluster.
+
+## Endpoints
+
+| Method | Endpoint | Description |
+| --- | --- | --- |
+| GET | /metal/data | Get all physical node data |
+| POST | /metal/data | Add a new physical node |
+| GET | /vm/data | Get all virtual machine data |
+| GET | /vm/import_hetzner | Import VM data from Hetzner API |
+| POST | /vm/data | Add a new virtual machine |
+| GET | /k8s/data | Get Kubernetes cluster information |
+| GET | /think/k8s | Get AI summary for Kubernetes cluster |
+| GET | /export | Export data in JSON or YAML format |
+
+## Hetzner Integration
+To fetch virtual machines from Hetzner Cloud:
+
+1. Ensure your Hetzner API token is available as an environment variable:
+
+    ```shell
+    export HETZNER_TOKEN=<your-token>
+    ```
+
+2. Use the /vm/import-hetzner endpoint:
+    
+    ```shell
+    curl http://<EXTERNAL-IP>/vm/import_hetzner
+    ```
+
+## Data Export
+
+1. Export in YAML format:
+
+```shell
+curl -X GET "http://<EXTERNAL-IP>/export?format=yaml"
+```
+
+2. Export in JSON format:
+
+```shell
+curl -X GET "http://<EXTERNAL-IP>/export?format=json"
+```
+
+## MetalCheck Helm Chart
+
+This Helm chart deploys the MetalCheck backend on a Kubernetes cluster.
+
+### Installation
+
+#### Prerequisites
+
+- Kubernetes cluster (1.18+ recommended)
+- Helm 3.x installed
+- Docker image for MetalCheck backend
+
+#### Install Chart
+
+1. Update `values.yaml` with your specific configurations.
+2. Install the chart:
+
+   ```bash
+   helm install metalcheck ./metalcheck-helm

app/data/metal.json

@@ -0,0 +1,32 @@
+[
+    {
+      "name": "chuo",
+      "location": "Tokyo",
+      "vendor": "The Company",
+      "cpu": 24,
+      "memory": "64GB",
+      "storage": "1TB",
+      "time_on_duty": 522,
+      "initial_cost": 1900
+    },
+    {
+      "name": "kyoto",
+      "location": "Kyoto",
+      "vendor": "The Company",
+      "cpu": 36,
+      "memory": "96GB",
+      "storage": "1TB",
+      "time_on_duty": 807,
+      "initial_cost": 1889
+    },
+    {
+      "name": "sa-100",
+      "location": "Sapporo",
+      "vendor": "The Company",
+      "cpu": 8,
+      "memory": "16GB",
+      "storage": "1TB",
+      "time_on_duty": 4401,
+      "initial_cost": 849
+    }
+]

app/data/vm.json

@@ -0,0 +1,26 @@
+[
+    {
+      "name": "cax-41-1",
+      "location": "Helsinki",
+      "cpu": 16,
+      "memory": "32GB",
+      "storage": "320GB SSD",
+      "vm_type": "cax-2xlarge"
+    },
+    {
+      "name": "cax-41-2",
+      "location": "Helsinki",
+      "cpu": 16,
+      "memory": "32GB",
+      "storage": "320GB SSD",
+      "vm_type": "cax-2xlarge"
+    },
+    {
+      "name": "ccx-63",
+      "location": "Germany",
+      "cpu": 48,
+      "memory": "192GB",
+      "storage": "960GB SSD",
+      "vm_type": "cx-6xlarge"
+    }
+]

app/extras/pseudographic.py

@@ -1,70 +0,0 @@
-# Show pseudo-graphic tables using rich library, if there is no frontend
-from rich.console import Console
-from rich.table import Table
-from database import fetch_all
-
-def display_metal_nodes():
-    console = Console()
-    table = Table(title="Metal Nodes")
-    table.add_column("ID", justify="right")
-    table.add_column("Name")
-    table.add_column("Location")
-    table.add_column("Vendor")
-    table.add_column("CPU", justify="right")
-    table.add_column("Memory")
-    table.add_column("Storage")
-
-    nodes = fetch_all("metal_nodes")
-    for node in nodes:
-        table.add_row(
-            str(node[0]), node[1], node[2], node[3],
-            str(node[4]), node[5], node[6]
-        )
-
-    console.print(table)
-
-def display_virtual_machines():
-    console = Console()
-    table = Table(title="Virtual Machines")
-    table.add_column("ID", justify="right")
-    table.add_column("Name")
-    table.add_column("Location")
-    table.add_column("CPU", justify="right")
-    table.add_column("Memory")
-    table.add_column("Storage")
-    table.add_column("Type")
-
-    vms = fetch_all("virtual_machines")
-    for vm in vms:
-        table.add_row(
-            str(vm[0]), vm[1], vm[2],
-            str(vm[3]), vm[4], vm[5], vm[6]
-        )
-
-    console.print(table)
-
-def display_kubernetes_nodes():
-    console = Console()
-    table = Table(title="Kubernetes Nodes")
-    table.add_column("ID", justify="right")
-    table.add_column("Cluster Name")
-    table.add_column("Node Name")
-    table.add_column("CPU", justify="right")
-    table.add_column("Memory")
-    table.add_column("Storage")
-    table.add_column("Type")
-    table.add_column("Namespaces")
-
-    nodes = fetch_all("kubernetes_nodes")
-    for node in nodes:
-        table.add_row(
-            str(node[0]), node[1], node[2],
-            str(node[3]), node[4], node[5],
-            node[6], node[7]
-        )
-
-    console.print(table)
-
-if __name__ == "__main__":
-    display_metal_nodes()
-    display_virtual_machines()

app/main.py

@@ -1,16 +1,83 @@
+import json
+import os
+import logging
 from fastapi import FastAPI
-from database import init_db
+from database import init_db, insert_metal_node, insert_virtual_machine
-from routes import metal, vm, k8s, export
+from fastapi.middleware.cors import CORSMiddleware
+from routes import metal, vm, k8s, export, think
+from pydantic import BaseModel, ValidationError
+
+class MetalNode(BaseModel):
+    name: str
+    location: str
+    vendor: str
+    cpu: int
+    memory: str
+    storage: str
+    time_on_duty: int
+    initial_cost: float
+
+class VirtualMachine(BaseModel):
+    name: str
+    location: str
+    cpu: int
+    memory: str
+    storage: str
+    vm_type: str
 
 app = FastAPI()
 
-init_db()
+METAL_JSON = "data/metal.json"
+VM_JSON = "data/vm.json"
+
+logger = logging.getLogger("uvicorn")
+
+@app.on_event("startup")
+async def startup_event():
+    init_db()
+
+    if os.path.exists(METAL_JSON):
+        with open(METAL_JSON, "r") as file:
+            metal_nodes = json.load(file)
+            for node in metal_nodes:
+                try:
+                    validated_node = MetalNode(**node)
+                    insert_metal_node(
+                        name=validated_node.name,
+                        location=validated_node.location,
+                        vendor=validated_node.vendor,
+                        cpu=validated_node.cpu,
+                        memory=validated_node.memory,
+                        storage=validated_node.storage,
+                        time_on_duty=validated_node.time_on_duty,
+                        initial_cost=validated_node.initial_cost
+                    )
+                except ValidationError as e:
+                    logger.error(f"Invalid metal node data: {e}")
+
+    if os.path.exists(VM_JSON):
+        with open(VM_JSON, "r") as file:
+            vms = json.load(file)
+            for vm in vms:
+                try:
+                    validated_vm = VirtualMachine(**vm)
+                    insert_virtual_machine(
+                        name=validated_vm.name,
+                        location=validated_vm.location,
+                        cpu=validated_vm.cpu,
+                        memory=validated_vm.memory,
+                        storage=validated_vm.storage,
+                        vm_type=validated_vm.vm_type
+                    )
+                except ValidationError as e:
+                    logger.error(f"Invalid VM data: {e}")
 
 # Include routes
 app.include_router(metal.router)
 app.include_router(vm.router)
 app.include_router(k8s.router)
 app.include_router(export.router)
+app.include_router(think.router)
 
 @app.get("/")
 def root():

app/requirements.txt

@@ -1,6 +1,5 @@
-# Here be dragons
+fastapi==0.99.1
-fastapi
+uvicorn==0.23.2
-uvicorn
+PyYAML==6.0.2
-pyyaml
+rich==13.9.4
-rich
+kubernetes==31.0.0
-kubernetes

app/routes/export.py

@@ -1,19 +1,131 @@
-# Export data in YAML or JSON format
+from fastapi import APIRouter, Response
-from fastapi import APIRouter
 from database import fetch_all
+from kubernetes import client, config
+from datetime import datetime, timezone
 import yaml
 import json
 
 router = APIRouter()
 
+def calculate_time_on_duty(creation_timestamp):
+    """
+    Calculate the time on duty in hours, days, or minutes from the creation timestamp.
+    """
+    now = datetime.now(timezone.utc)
+    delta = now - creation_timestamp
+
+    # If less than an hour, return minutes
+    if delta.days < 1 and delta.seconds < 3600:
+        minutes = delta.seconds // 60
+        return f"{minutes} minutes" if minutes > 1 else "less than a minute"
+    
+    # If less than a day, return hours
+    if delta.days < 1:
+        hours = delta.seconds // 3600
+        return f"{hours} hours" if hours > 1 else "1 hour"
+
+    return f"{delta.days} days" if delta.days > 1 else "1 day"
+
+def convert_memory_to_gb(memory):
+    """
+    Convert memory to GB (gigabytes) for ephemeral-storage.
+    """
+    if "Ki" in memory:
+        return int(memory.replace("Ki", "")) / (1024 ** 2)
+    elif "Mi" in memory:
+        return int(memory.replace("Mi", "")) / 1024
+    elif "Gi" in memory:
+        return int(memory.replace("Gi", ""))
+    return float(memory)
+
+def convert_memory_to_mib(memory):
+    """
+    Convert memory to MiB (mebibytes).
+    """
+    if "Ki" in memory:
+        return int(memory.replace("Ki", "")) / 1024
+    elif "Mi" in memory:
+        return int(memory.replace("Mi", ""))
+    elif "Gi" in memory:
+        return int(memory.replace("Gi", "")) * 1024
+    return float(memory)
+
+def convert_cpu_to_cores(cpu):
+    """
+    Convert CPU usage to cores for human-readable format.
+    Handles units: n (nano), u (micro), m (milli), or none (cores).
+    Returns float values for cores, rounded appropriately.
+    """
+    if "n" in cpu:
+        return round(int(cpu.replace("n", "")) / 1e9, 4)
+    elif "u" in cpu:
+        return round(int(cpu.replace("u", "")) / 1e6, 4)
+    elif "m" in cpu:
+        return round(int(cpu.replace("m", "")) / 1000, 4)
+    return float(cpu)
+
+def fetch_k8s_data_with_usage():
+    config.load_incluster_config()
+    v1 = client.CoreV1Api()
+    metrics_client = client.CustomObjectsApi()
+
+    nodes = []
+    for node in v1.list_node().items:
+        # Extract storage (ephemeral-storage) and instance type
+        ephemeral_storage = node.status.capacity.get("ephemeral-storage", "0")
+        instance_type = node.metadata.labels.get("beta.kubernetes.io/instance-type", "N/A")
+        creation_timestamp = node.metadata.creation_timestamp
+
+        time_on_duty = calculate_time_on_duty(creation_timestamp) if creation_timestamp else "N/A"
+
+        nodes.append({
+            "node_name": node.metadata.name,
+            "cpu": node.status.capacity.get("cpu"),
+            "memory": round(convert_memory_to_mib(node.status.capacity.get("memory")), 2),  # Convert to MiB
+            "storage": f"{round(convert_memory_to_gb(ephemeral_storage), 2)} GB",
+            "instance_type": instance_type,
+            "pods_allocatable": node.status.allocatable.get("pods"),
+            "time_on_duty": time_on_duty,  # Add time on duty
+        })
+
+    namespaces = [ns.metadata.name for ns in v1.list_namespace().items]
+
+    namespace_usage = {}
+    pod_metrics = metrics_client.list_cluster_custom_object(
+        group="metrics.k8s.io", version="v1beta1", plural="pods"
+    )
+    for pod in pod_metrics["items"]:
+        pod_namespace = pod["metadata"]["namespace"]
+        if pod_namespace not in namespace_usage:
+            namespace_usage[pod_namespace] = {"cpu": 0, "memory": 0}
+
+        for container in pod["containers"]:
+            cpu_usage = container["usage"]["cpu"]
+            memory_usage = container["usage"]["memory"]
+
+            namespace_usage[pod_namespace]["cpu"] += convert_cpu_to_cores(cpu_usage)
+            namespace_usage[pod_namespace]["memory"] += convert_memory_to_mib(memory_usage)
+
+    namespace_usage = {
+        ns: {
+            "cpu": round(usage["cpu"], 4),
+            "memory": round(usage["memory"], 2),
+        }
+        for ns, usage in namespace_usage.items()
+    }
+
+    return {"nodes": nodes, "namespaces": namespaces, "namespace_usage": namespace_usage}
+
 @router.get("/export")
 def export_data(format: str = "yaml"):
     data = {
         "metal_nodes": fetch_all("metal_nodes"),
         "virtual_machines": fetch_all("virtual_machines"),
-        "kubernetes_nodes": fetch_all("kubernetes_nodes"),
+        "kubernetes": fetch_k8s_data_with_usage(),
     }
-    # Return data in the requested format
+
     if format.lower() == "yaml":
-        return yaml.safe_dump(data)
+        yaml_data = yaml.safe_dump(data, sort_keys=False)
-    return json.dumps(data, indent=2)
+        return Response(content=yaml_data, media_type="text/yaml")
+
+    return Response(content=json.dumps(data, indent=2), media_type="application/json")

app/routes/k8s.py

@@ -1,33 +1,113 @@
 from fastapi import APIRouter
 from kubernetes import client, config
+from datetime import datetime, timezone
 
 router = APIRouter()
 
-# Initialize Kubernetes client
+def fetch_k8s_data_with_usage():
-def init_k8s_client():
+    config.load_incluster_config()
-    try:
+    v1 = client.CoreV1Api()
-        config.load_incluster_config()
+    metrics_client = client.CustomObjectsApi()
-    except:
+
-        config.load_kube_config()  # local testing
+    nodes = []
+    for node in v1.list_node().items:
+        # Extract storage (ephemeral-storage) and instance type
+        ephemeral_storage = node.status.capacity.get("ephemeral-storage", "0")
+        instance_type = node.metadata.labels.get("beta.kubernetes.io/instance-type", "N/A")
+
+        creation_timestamp = node.metadata.creation_timestamp
+        if creation_timestamp:
+            time_on_duty = calculate_time_on_duty(creation_timestamp)
+        else:
+            time_on_duty = "N/A"
+
+        nodes.append({
+            "node_name": node.metadata.name,
+            "cpu": node.status.capacity.get("cpu"),
+            "memory": round(convert_memory_to_mib(node.status.capacity.get("memory")), 2),
+            "storage": f"{round(convert_memory_to_gb(ephemeral_storage), 2)} GB",
+            "instance_type": instance_type,
+            "pods_allocatable": node.status.allocatable.get("pods"),
+            "time_on_duty": time_on_duty,
+        })
+
+    namespaces = [ns.metadata.name for ns in v1.list_namespace().items]
+
+    namespace_usage = {}
+    pod_metrics = metrics_client.list_cluster_custom_object(
+        group="metrics.k8s.io", version="v1beta1", plural="pods"
+    )
+    for pod in pod_metrics["items"]:
+        pod_namespace = pod["metadata"]["namespace"]
+        if pod_namespace not in namespace_usage:
+            namespace_usage[pod_namespace] = {"cpu": 0, "memory": 0}
+
+        for container in pod["containers"]:
+            cpu_usage = container["usage"]["cpu"]
+            memory_usage = container["usage"]["memory"]
+
+            namespace_usage[pod_namespace]["cpu"] += convert_cpu_to_cores(cpu_usage)
+            namespace_usage[pod_namespace]["memory"] += convert_memory_to_mib(memory_usage)
+
+    namespace_usage = {
+        ns: {
+            "cpu": round(usage["cpu"], 4),
+            "memory": round(usage["memory"], 2),
+        }
+        for ns, usage in namespace_usage.items()
+    }
+
+    return {"nodes": nodes, "namespaces": namespaces, "namespace_usage": namespace_usage}
+
+
+def calculate_time_on_duty(creation_timestamp):
+    """
+    Calculate the time on duty in hours, days, or minutes from the creation timestamp.
+    """
+    now = datetime.now(timezone.utc)
+    delta = now - creation_timestamp
+
+    if delta.days < 1 and delta.seconds < 3600:
+        minutes = delta.seconds // 60
+        return f"{minutes} minutes" if minutes > 1 else "less than a minute"
+    
+    if delta.days < 1:
+        hours = delta.seconds // 3600
+        return f"{hours} hours" if hours > 1 else "1 hour"
+
+    return f"{delta.days} days" if delta.days > 1 else "1 day"
+
+
+def convert_memory_to_gb(memory):
+    """
+    Convert memory to GB (gigabytes) for ephemeral-storage.
+    """
+    if "Ki" in memory:
+        return int(memory.replace("Ki", "")) / (1024 ** 2)
+    elif "Mi" in memory:
+        return int(memory.replace("Mi", "")) / 1024
+    elif "Gi" in memory:
+        return int(memory.replace("Gi", ""))
+    return float(memory)
+
+def convert_cpu_to_cores(cpu):
+    if "n" in cpu:
+        return round(int(cpu.replace("n", "")) / 1e9, 4)
+    elif "u" in cpu:
+        return round(int(cpu.replace("u", "")) / 1e6, 4)
+    elif "m" in cpu:
+        return round(int(cpu.replace("m", "")) / 1000, 4)
+    return float(cpu)
+
+def convert_memory_to_mib(memory):
+    if "Ki" in memory:
+        return int(memory.replace("Ki", "")) / 1024
+    elif "Mi" in memory:
+        return int(memory.replace("Mi", ""))
+    elif "Gi" in memory:
+        return int(memory.replace("Gi", "")) * 1024
+    return float(memory)
 
 @router.get("/k8s/data")
 def get_k8s_data():
-    init_k8s_client()
+    return fetch_k8s_data_with_usage()
-    v1 = client.CoreV1Api()
-
-    # Fetch nodes
-    nodes = v1.list_node()
-    node_data = []
-    for node in nodes.items:
-        node_data.append({
-            "node_name": node.metadata.name,
-            "cpu": node.status.capacity.get("cpu"),
-            "memory": node.status.capacity.get("memory"),
-            "pods_allocatable": node.status.allocatable.get("pods"),
-        })
-
-    # Fetch namespaces
-    namespaces = v1.list_namespace()
-    namespace_data = [ns.metadata.name for ns in namespaces.items]
-
-    return {"nodes": node_data, "namespaces": namespace_data}

app/routes/think.py

@@ -0,0 +1,73 @@
+from fastapi import APIRouter, HTTPException
+from kubernetes import client, config
+from typing import List, Dict
+import requests
+import os
+
+router = APIRouter()
+
+def fetch_ai_summary(cluster_name: str, nodes: List[Dict], api_url: str, auth_token: str) -> str:
+    """
+    Sends node data to an external AI API endpoint and retrieves a summary response.
+    """
+    payload = {
+        "data": {
+            "cluster_name": cluster_name,
+            "nodes": nodes
+        }
+    }
+
+    headers = {
+        "Authorization": f"Bearer {auth_token}",
+        "Content-Type": "application/json"
+    }
+
+    try:
+        response = requests.post(api_url, json=payload, headers=headers)
+        if response.status_code == 200:
+            result = response.json()
+            if result.get("success"):
+                return result.get("result", "No result provided by the API.")
+            else:
+                return "API responded with success=false."
+        else:
+            return f"API request failed with status code {response.status_code}: {response.text}"
+    except requests.RequestException as e:
+        return f"An error occurred while contacting the API: {str(e)}"
+
+@router.get("/think/k8s")
+def think_k8s():
+    """
+    Fetch Kubernetes data, send it to the AI API, and return the AI-generated summary.
+    """
+    config.load_incluster_config()
+    v1 = client.CoreV1Api()
+
+    cluster_name = "eks-staging"
+
+    nodes = []
+    for node in v1.list_node().items:
+        # Fetch ephemeral-storage and instance type
+        ephemeral_storage = node.status.capacity.get("ephemeral-storage", "0")
+        instance_type = node.metadata.labels.get("beta.kubernetes.io/instance-type", "N/A")
+
+        nodes.append({
+            "name": node.metadata.name,
+            "cpu": f"{node.status.capacity.get('cpu')} cores",
+            "memory": f"{round(int(node.status.capacity.get('memory').replace('Ki', '')) / 1024 / 1024, 2)} GB",
+            "storage": f"{round(int(ephemeral_storage.replace('Ki', '')) / (1024 ** 2), 2)} GB",
+            "type": instance_type,
+            "namespaces": [ns.metadata.name for ns in v1.list_namespace().items]
+        })
+
+    api_url = os.getenv("AI_API_URL")
+    auth_token = os.getenv("AI_API_TOKEN")
+
+    if not api_url or not auth_token:
+        raise HTTPException(status_code=500, detail="AI API URL or token is not set. Please set AI_API_URL and AI_API_TOKEN environment variables.")
+
+    # Call AI API
+    summary = fetch_ai_summary(cluster_name, nodes, api_url, auth_token)
+
+    return {"summary": summary}
+

app/routes/vm.py

@@ -1,8 +1,13 @@
-from fastapi import APIRouter
+from fastapi import APIRouter, HTTPException
 from pydantic import BaseModel
 from database import insert_virtual_machine, fetch_all
+import requests
+import os
+from datetime import datetime, timezone
+import logging
 
 router = APIRouter()
+logger = logging.getLogger(__name__)
 
 class VirtualMachine(BaseModel):
     name: str
@@ -18,6 +23,10 @@ def get_vm_data():
 
 @router.post("/vm/data")
 def add_vm_data(vm: VirtualMachine):
+    existing_vms = fetch_all("virtual_machines")
+    if any(existing_vm[1] == vm.name for existing_vm in existing_vms):
+        return {"message": f"Virtual machine '{vm.name}' already exists."}
+    
     insert_virtual_machine(
         name=vm.name,
         location=vm.location,
@@ -27,3 +36,58 @@ def add_vm_data(vm: VirtualMachine):
         vm_type=vm.type
     )
     return {"message": f"Virtual machine '{vm.name}' added successfully."}
+
+@router.get("/vm/import-hetzner")
+def import_hetzner_vms(api_token: str = None):
+    """
+    Import virtual machines from Hetzner Cloud.
+    """
+    # Check for Hetzner token
+    api_token = api_token or os.getenv("HETZNER_TOKEN")
+    if not api_token:
+        logger.warning("HETZNER_TOKEN is not set. Unable to fetch Hetzner servers.")
+        return {"message": "HETZNER_TOKEN is not set. Please set it to fetch servers from Hetzner."}
+
+    hetzner_url = "https://api.hetzner.cloud/v1/servers"
+    headers = {"Authorization": f"Bearer {api_token}"}
+
+    try:
+        response = requests.get(hetzner_url, headers=headers)
+        response.raise_for_status()
+    except requests.RequestException as e:
+        raise HTTPException(status_code=500, detail=f"Failed to fetch data from Hetzner API: {e}")
+
+    servers = response.json().get("servers", [])
+    if not servers:
+        return {"message": "No servers found on Hetzner Cloud."}
+
+    # Fetch existing VMs from the database
+    existing_vms = {vm[1] for vm in fetch_all("virtual_machines")}
+
+    imported_count = 0
+    for server in servers:
+        try:
+            name = server["name"]
+            if name in existing_vms:
+                logger.info(f"Skipping existing virtual machine: {name}")
+                continue
+
+            location = server["datacenter"]["location"]["name"]
+            cpu = server["server_type"]["cores"]
+            memory = f"{server['server_type']['memory']} GB"
+            storage = f"{server['server_type']['disk']} GB"
+            vm_type = server["server_type"]["name"]
+
+            insert_virtual_machine(
+                name=name,
+                location=location,
+                cpu=cpu,
+                memory=memory,
+                storage=storage,
+                vm_type=vm_type
+            )
+            imported_count += 1
+        except Exception as e:
+            logger.error(f"Failed to import server {server['name']}: {e}")
+
+    return {"message": f"Imported {imported_count} new virtual machines from Hetzner."}

examples/k8s/configmap.yaml

@@ -0,0 +1,9 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: api-config
+  namespace: metalcheck
+data:
+  AI_API_URL: ""
+  AI_API_TOKEN: ""
+  HETZNER_TOKEN: ""

examples/k8s/deployment.yaml

@@ -0,0 +1,30 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: metalcheck-backend
+  labels:
+    app: metalcheck
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: metalcheck
+  template:
+    metadata:
+      labels:
+        app: metalcheck
+    spec:
+      serviceAccountName: metalcheck-sa
+      containers:
+      - name: backend
+        image: ak-git.vectorsigma.ru/terghalin/metalcheck:latest
+        envFrom:
+        - configMapRef:
+            name: api-config
+        ports:
+        - containerPort: 8000
+        env:
+        - name: KUBERNETES_SERVICE_HOST
+          value: "kubernetes.default"
+        - name: KUBERNETES_SERVICE_PORT
+          value: "443"

examples/k8s/rbac.yaml

@@ -0,0 +1,49 @@
+apiVersion: v1
+kind: ServiceAccount
+metadata:
+  name: metalcheck-sa
+  namespace: metalcheck
+---
+apiVersion: rbac.authorization.k8s.io/v1
+kind: ClusterRole
+metadata:
+  name: metalcheck-clusterrole
+rules:
+- apiGroups: [""]
+  resources: ["pods", "nodes", "namespaces"]
+  verbs: ["get", "list", "watch"]
+---
+apiVersion: rbac.authorization.k8s.io/v1
+kind: ClusterRoleBinding
+metadata:
+  name: metalcheck-clusterrolebinding
+subjects:
+- kind: ServiceAccount
+  name: metalcheck-sa
+  namespace: metalcheck
+roleRef:
+  kind: ClusterRole
+  name: metalcheck-clusterrole
+  apiGroup: rbac.authorization.k8s.io
+---
+apiVersion: rbac.authorization.k8s.io/v1
+kind: ClusterRole
+metadata:
+  name: metrics-reader
+rules:
+- apiGroups: ["metrics.k8s.io"]
+  resources: ["pods"]
+  verbs: ["get", "list", "watch"]
+---
+apiVersion: rbac.authorization.k8s.io/v1
+kind: ClusterRoleBinding
+metadata:
+  name: metrics-reader-binding
+subjects:
+- kind: ServiceAccount
+  name: metalcheck-sa
+  namespace: metalcheck
+roleRef:
+  kind: ClusterRole
+  name: metrics-reader
+  apiGroup: rbac.authorization.k8s.io

helm/Chart.yaml

@@ -0,0 +1,6 @@
+apiVersion: v2
+name: metalcheck-backend
+description: A Helm chart for deploying the MetalCheck backend application.
+type: application
+version: 0.1.0
+appVersion: "latest"

helm/templates/_helpers.tpl

@@ -0,0 +1,7 @@
+{{/*
+Expand common labels.
+*/}}
+{{- define "metalcheck-backend.labels" -}}
+app: {{ .Chart.Name }}
+release: {{ .Release.Name }}
+{{- end }}

helm/templates/configmap.yaml

@@ -0,0 +1,8 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: {{ .Release.Name }}-config
+  labels:
+    app: {{ .Chart.Name }}
+data:
+  HETZNER_TOKEN: {{ .Values.env.HETZNER_TOKEN | quote }}

helm/templates/deployment.yaml

@@ -0,0 +1,30 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: {{ .Release.Name }}-backend
+  labels:
+    app: {{ .Chart.Name }}
+    release: {{ .Release.Name }}
+spec:
+  replicas: {{ .Values.replicaCount }}
+  selector:
+    matchLabels:
+      app: {{ .Chart.Name }}
+      release: {{ .Release.Name }}
+  template:
+    metadata:
+      labels:
+        app: {{ .Chart.Name }}
+        release: {{ .Release.Name }}
+    spec:
+      containers:
+        - name: backend
+          image: "{{ .Values.image.repository }}:{{ .Values.image.tag }}"
+          imagePullPolicy: {{ .Values.image.pullPolicy }}
+          ports:
+            - containerPort: 80
+          env:
+            - name: HETZNER_TOKEN
+              value: "{{ .Values.env.HETZNER_TOKEN }}"
+          resources:
+{{- toYaml .Values.resources | nindent 12 }}

helm/templates/ingress.yaml

@@ -0,0 +1,26 @@
+{{- if .Values.ingress.enabled }}
+apiVersion: networking.k8s.io/v1
+kind: Ingress
+metadata:
+  name: {{ .Release.Name }}-ingress
+  annotations:
+{{ toYaml .Values.ingress.annotations | indent 4 }}
+spec:
+  rules:
+{{- range .Values.ingress.hosts }}
+    - host: {{ .host }}
+      http:
+        paths:
+{{- range .paths }}
+          - path: {{ .path }}
+            pathType: {{ .pathType }}
+            backend:
+              service:
+                name: {{ $.Release.Name }}-service
+                port:
+                  number: {{ $.Values.service.port }}
+{{- end }}
+{{- end }}
+  tls:
+{{ toYaml .Values.ingress.tls | indent 4 }}
+{{- end }}

helm/templates/rbac.yaml

@@ -0,0 +1,49 @@
+apiVersion: v1
+kind: ServiceAccount
+metadata:
+  name: {{ .Release.Name }}-sa
+  namespace: {{ .Release.Namespace }}
+---
+apiVersion: rbac.authorization.k8s.io/v1
+kind: ClusterRole
+metadata:
+  name: {{ .Release.Name }}-clusterrole
+rules:
+- apiGroups: [""]
+  resources: ["pods", "nodes", "namespaces"]
+  verbs: ["get", "list", "watch"]
+---
+apiVersion: rbac.authorization.k8s.io/v1
+kind: ClusterRoleBinding
+metadata:
+  name: {{ .Release.Name }}-clusterrolebinding
+subjects:
+- kind: ServiceAccount
+  name: {{ .Release.Name }}-sa
+  namespace: {{ .Release.Namespace }}
+roleRef:
+  kind: ClusterRole
+  name: {{ .Release.Name }}-clusterrole
+  apiGroup: rbac.authorization.k8s.io
+---
+apiVersion: rbac.authorization.k8s.io/v1
+kind: ClusterRole
+metadata:
+  name: {{ .Release.Name }}-metrics-reader
+rules:
+- apiGroups: ["metrics.k8s.io"]
+  resources: ["pods"]
+  verbs: ["get", "list", "watch"]
+---
+apiVersion: rbac.authorization.k8s.io/v1
+kind: ClusterRoleBinding
+metadata:
+  name: {{ .Release.Name }}-metrics-reader-binding
+subjects:
+- kind: ServiceAccount
+  name: {{ .Release.Name }}-sa
+  namespace: {{ .Release.Namespace }}
+roleRef:
+  kind: ClusterRole
+  name: {{ .Release.Name }}-metrics-reader
+  apiGroup: rbac.authorization.k8s.io

helm/templates/service.yaml

@@ -0,0 +1,14 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: {{ .Release.Name }}-service
+  labels:
+    app: {{ .Chart.Name }}
+spec:
+  type: {{ .Values.service.type }}
+  ports:
+    - port: {{ .Values.service.port }}
+      targetPort: 80
+  selector:
+    app: {{ .Chart.Name }}
+    release: {{ .Release.Name }}

helm/values.yaml

@@ -0,0 +1,35 @@
+replicaCount: 2
+
+image:
+  repository: ak-git.vectorsigma.ru/terghalin/metalcheck:latest
+  tag: latest
+  pullPolicy: IfNotPresent
+
+service:
+  type: LoadBalancer
+  port: 80
+
+ingress:
+  enabled: false
+  annotations: {}
+  hosts:
+    - host: metalcheck.local
+      paths:
+        - path: /
+          pathType: ImplementationSpecific
+  tls: []
+
+resources:
+  limits:
+    cpu: "500m"
+    memory: "512Mi"
+  requests:
+    cpu: "250m"
+    memory: "256Mi"
+
+env:
+  HETZNER_TOKEN: ""
+
+nodeSelector: {}
+tolerations: []
+affinity: {}